Latest AI and machine learning research in arrhythmias for healthcare professionals.
Sleep apnea is a prevalent disorder affecting 10Â % of middle-aged individuals, yet it remains underd...
The automatic classification of medical time series signals, such as electroencephalogram (EEG) an...
OBJECTIVES: An image-based ECG dataset incorporating visual imperfections common to paper-based ECGs...
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with elevated health risks, ...
This review focuses on the computerized modeling of the electrophysiology of the human atria, emph...
Reconstructing ECG from PPG is a promising yet challenging task. While recent advancements in gene...
We introduce an open-source Python framework for generating synthetic ECG image datasets to advanc...
In the field of automatic Electrocardiogram (ECG) diagnosis, due to the relatively limited amount ...
Accurate ECG interpretation is vital, yet complex cardiac data and "black-box" AI models limit cli...
BACKGROUND: Structural remodeling of the left atrial appendage (LAA) is characteristic of atrial fib...
Recent advances have increasingly applied large language models (LLMs) to electrocardiogram (ECG) ...
Cardiac digital twins (CDT) are emerging as a potentially transformative tool in cardiology. A cri...
In this article we comment on the paper by Xu describing retrospective data on endoscopic treatment...
BACKGROUND AND AIMS: Emerging evidence supports artificial intelligence-enhanced electrocardiogram (...
Electrocardiograms (ECGs) are essential for diagnosing cardiovascular diseases. While previous ECG...
Globally, the high number of deaths are happening due to Myocardial infarction (MI). MI is considere...
BACKGROUND: Artificial intelligence (AI) can be used to estimate age from the electrocardiogram (AI-...
This study aims to introduce a novel, computationally lightweight feature extraction technique calle...
Monitoring and analyzing electrocardiogram (ECG) signals, even under varying physiological conditi...
Detecting and classifying arrhythmias is essential in diagnosing cardiovascular diseases. However, c...
Smoking has been widely identified for its detrimental effects on human health, particularly on the ...